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San Francisco vs Los Angeles R: Passing Touchdowns
kalshi

San Francisco vs Los Angeles R: Passing Touchdowns

Volume:
$562,301

Brock Purdy: 3+

 - Kalshi

Brock Purdy: 3+ - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 11, 2026

Closed: Sep 10, 10:56 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Brock Purdy: 3+

View
100%
81%
Yes 100¢No 0¢
100¢
N/A
$62,682
N/A
N/A
$58,028
Settled
Yes
kalshi

Brock Purdy: 2+

100%
53%
Yes 100¢No 0¢
100¢
N/A
$61,619
N/A
N/A
$53,070
Settled
Yes
kalshi

Brock Purdy: 1+

100%
15%
Yes 100¢No 0¢
100¢
N/A
$7,797
N/A
N/A
$5,918
Settled
Yes
kalshi

Matthew Stafford: 2+

0%
58%
Yes 0¢No 100¢
100¢
N/A
$196,808
N/A
N/A
$161,383
Settled
No
kalshi

Matthew Stafford: 1+

0%
90%
Yes 0¢No 100¢
100¢
N/A
$87,347
N/A
N/A
$59,325
Settled
No
kalshi

Brock Purdy: 4+

0%
5%
Yes 0¢No 100¢
100¢
N/A
$77,673
N/A
N/A
$58,427
Settled
No
kalshi

Matthew Stafford: 3+

0%
23%
Yes 0¢No 100¢
100¢
N/A
$48,281
N/A
N/A
$42,776
Settled
No
kalshi

Matthew Stafford: 4+

0%
10%
Yes 0¢No 100¢
100¢
N/A
$16,864
N/A
N/A
$16,234
Settled
No
kalshi

Matthew Stafford: 5+

0%
Yes 0¢No 100¢
100¢
N/A
$3,230
N/A
N/A
$2,914
Settled
No
Total markets: 9

Intro

This market on Kalshi tracks whether Matthew Stafford will record 2+ passing touchdowns in the San Francisco versus Los Angeles Rams professional football game. Currently, the probability of Matthew Stafford achieving 2+ passing touchdowns is 100.0%, tied with the 100.0% probability of him achieving 1+ passing touchdowns. The market will resolve based on official game statistics, as defined by whether Matthew Stafford records 5+ passing touchdowns in the game originally scheduled for September 10, 2026. Keep an eye on the game itself, as the market resolves based on performance through the end of the game window on September 10, 2026, with final resolution occurring by September 11, 2026.

Kalshi

The event evaluates multiple markets centered on the passing touchdown performance of two quarterbacks, Matthew Stafford and Brock Purdy, in a single pro football game. Each market has a primary rule specifying that the market resolves to 'Yes' if the respective quarterback records a minimum number of passing touchdowns (ranging from 1 to 5 for Stafford, and 1 to 4 for Purdy). A consistent secondary rule applies across all markets: if a quarterback is active but does not take any snaps, the market settles at the fair market price determined before the game starts. However, once a quarterback takes at least one snap—regardless of whether the play is nullified by a penalty—the market outcome is determined solely by the actual number of passing touchdowns recorded during the game. These rules ensure that markets are resolved based on actual in-game performance, with specific provisions for scenarios where a player is present but does not participate.

Frequently asked questions

On Kalshi, the passing touchdowns market dashboard tracks real-time odds and price movements for the number of passing touchdowns in the San Francisco vs Los Angeles game. It shows current chances for different outcomes, along with historical price trends and a 24-hour volume of $540,469. This gives traders a live view of market sentiment and betting patterns as the event approaches.

This market resolves around Sep 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final number of passing touchdowns scored by each team's quarterback will determine which market outcome is correct, based on official game statistics and box scores.

Key performances in the upcoming weeks, especially standout passing games or turnover rates, will heavily influence this market. Injuries to key quarterbacks or offensive changes could rapidly shift trader sentiment. Media narratives around momentum and playoff implications may also affect perceptions. As Sep 11, 2026 approaches, any last-game results or strategic adjustments could produce significant movement in trading activity and implied probabilities.